I'm 19 and studying cybersecurity. I completed a full-stack development course, but I didn't enjoy it much, and I relied heavily on AI, so I don't feel confident with JavaScript, React, or Node.js yet. I'm looking for a job as soon as possible and would like to earn above the average income in my country. With AI changing software development and front-end work potentially becoming more automated, I'm unsure which direction to pursue. Should I focus on a particular programming language, cybersecurity specialty, or another technical skill that offers good long-term career prospects?
3 Answers
Since you’re studying cybersecurity, you may not need to compete directly for general front-end roles. Consider areas such as security automation, cloud security, application security, incident response, or penetration testing. Python is especially useful for scripting and automation, while Linux, networking, SQL, HTTP, authentication, and basic systems programming are at least as important as knowing a particular framework. Build a few practical projects, document them clearly, and apply for internships, junior security roles, IT support, or system administration positions that can lead into security.
Start by looking at actual job listings in your area. Make a list of the skills employers repeatedly request, then choose one realistic role and build toward it instead of chasing the language that sounds most promising. Job postings will give you a much better picture of the local market than general predictions about the future.
You could even write a small script to collect and summarize job postings. That would give you useful market research while also becoming a portfolio project.
There probably isn’t one language that guarantees a high-paying job. Languages are tools, and professional developers often use several over time. Focus on programming fundamentals, debugging, data structures, databases, networking, version control, and understanding how systems work. Pick one practical language—Python, JavaScript, Java, C#, or Go are all reasonable choices—and use it to build projects. Once you understand the concepts, learning another language is much easier. AI can help you move faster, but you still need to review its output and be able to explain and maintain the code yourself.
That’s my concern too: if AI handles a large portion of routine coding, the valuable skills will be understanding requirements, designing systems, checking correctness, and solving problems that aren’t well specified.
A strong foundation matters more than choosing a trendy language. Try to understand what your programs are doing instead of treating AI-generated code as something to copy and submit.